Berkeley Lab Led News Today

Researchers say that the Chilean Andes could face marked snow loss and roughly 10% less mountain water runoff with a global warming of approximately 2.5 degrees Celsius over the next 30 years. The study has implications for the California Sierra Nevada and highlights the need for carbon mitigation.

A research team has found that the Andean region of Chile could face noticeable snow loss and roughly 10% less mountain water runoff with a global warming of approximately 2.5 degrees Celsius compared to pre-industrial levels over the next three decades

Researchers say that the Chilean Andes could face marked snow loss and roughly 10% less mountain water runoff with a global warming of approximately 2.5 degrees

The silicon-based computer chips that power our modern devices require vast amounts of energy to operate. Despite ever-improving computing efficiency, information technology is projected to consume around 25% of all primary energy produced by 2030.

Experts’ Predictions for Future Wind Energy Costs Drop Significantly Berkeley Lab-led study shows expected cost declines of 17%-35% by 2035 and 37%-49% by 2050 Technology and commercial advancements are expected to continue to drive down the cost of wind energy, according to a survey led by Lawrence Berkeley National Laboratory (Berkeley Lab) of the world’s foremost wind power experts. Experts anticipate cost reductions of 17%-35% by 2035 and 37%-49% by 2050, dri...

(Credit: Ondrej Prosicky/iStock) Reliance on petroleum fuels and raging wildfires: Two separate, large-scale challenges that could be addressed by one scientific breakthrough. Teams from Lawrence Berkeley National Laboratory (Berkeley Lab) and Sandia National Laboratories have collaborated to develop a streamlined and efficient process for converting woody plant matter like forest overgrowth and agricultural waste – material that is currently burned either intentionally or unintentionally –...

AI Finds More Than 1,200 Gravitational Lensing Candidates A research team with participation by Berkeley Lab physicists has used artificial intelligence to identify more than 1,200 possible gravitational lenses – objects that can be powerful markers for the distribution of dark matter. The count, if all of the candidates turn out to be lenses, would more than double the number of known gravitational lenses. Gravitational lenses result from large celestial objects, like galaxies or galaxy clu...